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First of all, great utility! ❤️
One thing I noticed is, that it does not seem to be possible, to fully mute the volume when Volume Control is running. When pressing the mute button or lowering the …
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Hi guys,
It seems that the objective of the model is the negative log marginal likelihood calculated on training data. Is there any existing function to calculate the marginal likelihood in the tes…
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```
Currently the posterior marginals for the fitted values are computed from the
posterior marginals of the linear predictor, using the inverse.link.
As the postmarg for the lin.pred is a mixture,…
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Sometimes we're only interested in the marginal posterior rather than the joint posterior. One way to compute this if we have a batch of `b x q x d` points (where `b` is the batch dimension, `q` is t…
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In the visualization, pair plots are created that plot on the diagonal the marginal distributions and on the off-diagonal elements the bivariate marginal distributions. The plot distinguishes between …
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Hi guys, you are doing a great job with this repo.
I have a task that requires some special requirements.
Say an SPN specifies a joint distribution over the following set of variables:
x_1, x_…
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```
Currently the posterior marginals for the fitted values are computed from the
posterior marginals of the linear predictor, using the inverse.link.
As the postmarg for the lin.pred is a mixture,…
-
```
Currently the posterior marginals for the fitted values are computed from the
posterior marginals of the linear predictor, using the inverse.link.
As the postmarg for the lin.pred is a mixture,…
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As the title implies, I'm interested in calculating marginal means from the results of my pooled multilevel models. If would be wonderful to either see this functionality added to the mitml package, o…
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Hello there. This is such a great package - thank you for the work in creating it. I am curious about best practices for calculating average marginal effects for interaction terms while using errorsar…